An Application of Fuzzy Theory to the Case-Based Reasoning of the CISG

  • Kaoru Hirota*
  • , Hajime Yoshino
  • , Ming Qiang Xu*
  • , Yan Zhu*
  • , Xiao Yi Li*
  • , Daigo Horie*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In legal case-based reasoning (CBR), there exist problems concerning fuzziness, e.g., representation of precedents, their retrieval, and similarity measures. In our proposed fuzzy legal CBR system, the issues and features of precedent are characterized on the basis of the facts of precedent and statute rule. The case rule that is used for interpreting the court judgment, which cannot be obtained from the statute rule directly, is made by experts. Fuzziness is represented by membership functions. Features and case rules, written in terms of Compound Predicate Formula (CPF) and frame, are stored in a case base. Cases similar to a new case are retrieved by issues and features, and an inference is made by case rules. A user interface is devised for this system. The system proposed here will be used for law education, where the target law of the system is contract, especially as it relates to the United Nations Convention on Contracts for the Internationa] Sale of Goods (CISG).

Original languageEnglish
Pages (from-to)86-93
Number of pages8
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume1
Issue number2
DOIs
Publication statusPublished - Dec 1997
Externally publishedYes

Keywords

  • Case-based reasoning
  • Fuzzy theory
  • Legal expert system

Fingerprint

Dive into the research topics of 'An Application of Fuzzy Theory to the Case-Based Reasoning of the CISG'. Together they form a unique fingerprint.

Cite this